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Java Software Architect
High Tech Genesis
Ontario, CAN
Full Time, Contract
Senior · 10+ years experience
Hybrid
Discovered 3 weeks ago
JavaSpring BootAWSmicroservicesAPIsLambda@Edge
Free
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JavaSpring BootAWS
Role Overview
We are seeking an experienced Java Software Architect to provide technical architecture and design leadership across distributed backend systems, cloud platforms, edge computing, and AI/ML capabilities.
The successful candidate will define scalable technical solutions, establish architecture patterns, guide engineering teams, and ensure systems are designed for performance, reliability, security, and long-term scalability. This role requires strong Java expertise combined with broad architectural knowledge across cloud, APIs, distributed systems, data platforms, and modern AI/ML environments.
Key Skills for This Role
JavaSpring BootAWSmicroservicesAPIsLambda@Edge
Full Job Posting
Role Overview
We are seeking an experienced Java Software Architect to provide technical architecture and design leadership across distributed backend systems, cloud platforms, edge computing, and AI/ML capabilities.
The successful candidate will define scalable technical solutions, establish architecture patterns, guide engineering teams, and ensure systems are designed for performance, reliability, security, and long-term scalability. This role requires strong Java expertise combined with broad architectural knowledge across cloud, APIs, distributed systems, data platforms, and modern AI/ML environments.
Key Responsibilities
- Define end-to-end architecture for distributed backend, cloud, edge, and data platforms.
- Develop technical architecture strategies, solution designs, and integration patterns.
- Establish architectural standards and best practices for Java, Spring Boot, microservices, APIs, and event-driven systems.
- Provide technical direction for AWS-based solutions across compute, storage, networking, IAM, and observability.
- Design architecture for edge and CDN-based processing environments.
- Define integration patterns for third-party vendors, identity services, authentication, and secure data exchange.
- Guide the design of data platforms supporting ML inference, feature pipelines, model serving, and AI/ML integrations.
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